Anomaly detection

LotusEye ✓

AI anomaly detection from sensor data, for everyone

Source rating 5.0 (2) 8.2k views 17 saves 1 comments Freemium
More categories (4)

Free + from $14/mo

Verdict

A quick read before you dig into the full page.

Best if
You are maintenance engineers and need: Predictive maintenance for industrial equipment
Skip if
Transitions to paid plan after trial
Pick this when
Anomaly detection focus

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Overview

LotusEye is an AI-based tool which maintains a core focus on anomaly detection using sensor data. The software learns from normal behavior based on from the uploaded sensor data and automatically detects any deviations, raising an immediate alert during perceived anomalies.

Users without a comprehensive knowledge of AI can effortlessly construct AI models simply by uploading their data. The process of creating models as well as scoring is initially free, allowing users to ascertain the systems effectiveness before transitioning to a paid plan.

LotusEye also carries an array of features with each pricing tier including amenities like email notifications, data management by several members and data uploads via API.

The AI model at work with LotusEye functions by learning from the regular sensor data that has been previously uploaded. When test data reveals behavior straying from what has been deemed as normal, the anomaly score increases.

The system is flexible and supports two kinds of CSV files which includes both wide-format and long-format CSV files. Additionally, users are provided with the capacity to upload data through API, facilitating automatic data uploads.

Regardless of the kind of numerical data, as long as it is in CSV format, it can be utilized for anomaly detection with LotusEye.

LotusEye website

Best for

Short scenarios where LotusEye tends to shine.

  • Predictive maintenance for industrial equipment

    Best for Maintenance engineers

  • Anomaly detection in web server access logs

    Best for Data scientists

  • Monitoring sensor data for unusual patterns

    Best for IT professionals

  • Detecting fraudulent activities based on numerical data

    Best for Operations managers

Example outputs 1

Sample generations and before/after results for LotusEye.

Access & connections

Where you can use LotusEye.

Platforms

Web

Pros & cons

Pros

  • Anomaly detection focus
  • Automatic anomaly alerts
  • User-friendly model construction
  • Initial free model creation
  • Predictive scoring system
  • Flexible pricing tiers
  • Email notifications feature
  • Multi-members data management
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  • Data uploads via API
  • Wide-format CSV support
  • Long-format CSV support
  • Automatic data uploads
  • Any numerical data support
  • Adapts from previous data
  • Flexible CSV data types
  • Free system effectiveness testing
  • User-friendly interface
  • Cloud-based software
  • Free trial availability
  • Paid subscription option
  • Data alert security
  • Sensor data learning
  • Data automation process

Cons

  • Hourly anomaly score calculation
  • Lacks real-time scoring
  • Only supports CSV format
  • Limited data upload options
  • Dependent on quality of uploaded data
  • Specific file structure requirement
  • Not suitable for non-numerical data
  • May have false positives
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  • No detection speed control
  • Transitions to paid plan after trial

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Releases 1

Initial release October 30, 2024 Current
Initial release of LotusEye.

Imported reviews 1

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Lachlan Apr 11, 2026 v@ initial release

i just signed up today, I'm not sure how useful it’ll be for me yet

FAQ 12

What is LotusEye's main focus?
LotusEye's main focus is anomaly detection using sensor data.
How does LotusEye define 'normal' behavior?
LotusEye defines 'normal' behavior based on the sensor data uploaded to the system. It learns from this uploaded data to identify what is considered normal.
What type of data does LotusEye work with?
LotusEye works with any kind of numerical data, as long as it is in CSV format.
Do I need AI knowledge to use LotusEye?
No, AI knowledge is not required to use LotusEye. Users can effortlessly construct AI models just by uploading their data.
What does it mean when the anomaly score increases on LotusEye?
When the anomaly score increases on LotusEye, it indicates that the test data is showing behavior that deviates from what has been learned and defined as normal.
Can LotusEye read both wide-format and long-format CSV files?
Yes, LotusEye can read both wide-format and long-format CSV files.
How do I upload data to LotusEye?
You can upload data to LotusEye either by selecting CSV files on the service interface or by dragging and dropping them onto the screen.
Does LotusEye provide options for automatic data uploads?
Yes, LotusEye does provide options for automatic data uploads. For users on the Light plan or higher, data can be uploaded through API integration.
Does LotusEye offer a free trial period?
Yes, LotusEye offers a free trial period where users can create models and calculate scores for free.
What features are offered in LotusEye's pricing tiers?
LotusEye offers a variety of features in its pricing tiers, including email notifications, data uploads via API, and data management by multiple members.
Do I need to pay to create models or score on LotusEye?
No, creating models and calculating scores can be done for free on LotusEye. Users can choose a paid plan after confirming its effectiveness.
What are the steps to start anomaly detection on LotusEye?
The steps to start anomaly detection on LotusEye are: 1) Upload training data of normal operations and create an AI model, 2) Upload test data to check for anomalies, 3) Review the anomaly scores calculated by the AI on the screen.
LotusEye Free + from $14/mo